LimeSpot extracts product attributes automatically, which then will be combined with various shopper profiles and buying behaviors to deliver real-time Personalized Recommendations to each online store visitor.
LimeSpot crawls your catalog to identify product attributes, tag demographics, and interests, and assign relationships between your products.
This enables us to provide real-time personalization starting on the first day of installation, even for the first-time-visitors!
Shopper behaviors, on each and every product in the catalog, are then tracked and applied to the AI engine for optimization and enhanced training cycles.
Store operators can manually optimize the auto-generated targeting information and influence the AI engine to follow specific seasonal and longer-term business goals and strategies.
This includes optimizing the way different products and collections are prioritized, defining product bundles or relationships between different products and collections to enhance the AI-driven recommendations based on your unique strategy and goals.
Shopper interactions are combined with the enriched product catalog and global market trends to provide the most valuable asset for the merchants:
A 360 view of your shopper profiles covering demographics, interests, shopping intents, and preferences.
LimeSpot dynamic segmentation empowers you with the ability to analyze each segment of your shoppers separately and target them with smart campaigns and recommendations.
By processing hundreds of millions of shopper activities against tens of millions of products across thousands of online stores, our AI engine builds a global market dynamic model.
The insights from the global market model are used as an enhanced source to deliver laser-targeted multi-channel recommendations and personalized experiences.
Global market insights is also available as an analytics dashboard to help stores with a deeper understanding of their product portfolio and target audiences, as well as enabling inventory planning and other strategic decisions.